kesha-voice-kit: Skill for Claude Code

.claude/skills/openspec-archive-change/SKILL.md

openspec-archive-change is a skill for Claude Code from drakulavich/kesha-voice-kit. It costs 31 tokens per session (1,045 once invoked), scanned A, a copy of openspec-archive-change, MIT.

A command for archiving a completed change in an experimental development workflow. It checks the change's status before moving it to the archive.

In plain words
What is it for?
Finalizing completed changes, checking required workflow artifacts, selecting an active change to archive, and handling unsupported workspace-planning changes.
Why use it?
It helps prevent unfinished work from being archived and requires an explicit choice when the requested change is unclear.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: names the AskUserQuestion tool.

This is drakulavich/kesha-voice-kit's own configuration. It tells Claude Code how to work on kesha-voice-kit itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything kesha-voice-kit configures →

Reuse

Borrowing it

Nothing to install: this file belongs to drakulavich/kesha-voice-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/drakulavich/kesha-voice-kit/main/.claude/skills/openspec-archive-change/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/drakulavich/kesha-voice-kit

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for openspec-archive-change

README.md
[![agentmods](https://agentmods.dev/badge/skills/drakulavich/kesha-voice-kit/openspec-archive-change/github.svg)](https://agentmods.dev/skills/drakulavich/kesha-voice-kit/openspec-archive-change)
Your own site
<a href="https://agentmods.dev/skills/drakulavich/kesha-voice-kit/openspec-archive-change"><img src="https://agentmods.dev/badge/skills/drakulavich/kesha-voice-kit/openspec-archive-change/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for openspec-archive-change

Your own site · 80×15
<a href="https://agentmods.dev/skills/drakulavich/kesha-voice-kit/openspec-archive-change"><img src="https://agentmods.dev/badge/skills/drakulavich/kesha-voice-kit/openspec-archive-change.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,045 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00031 $0.01045
Opus 5 $0.00015 $0.00522
Sonnet 5 $0.00006 $0.00209
Haiku 4.5 $0.00003 $0.00104

Measured 11d ago against content hash 0526054ec891, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

openspec-archive-change scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to openspec-archive-change — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/openspec-archive-change/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Archive a completed change in the experimental workflow.

Input: Optionally specify a change name. If omitted, check if it can be inferred from conversation context. If vague or ambiguous you MUST prompt for available changes.

Steps

  1. If no change name provided, prompt for selection

    Run openspec list --json to get available changes. Use the AskUserQuestion tool to let the user select.

    Show only active changes (not already archived). Include the schema used for each change if available.

    IMPORTANT: Do NOT guess or auto-select a change. Always let the user choose.

  2. Check artifact completion status

    Run openspec status --change "<name>" --json to check artifact completion.

    Parse the JSON to understand:

    • schemaName: The workflow being used
    • planningHome, changeRoot, artifactPaths, and actionContext: path and scope context
    • artifacts: List of artifacts with their status (done or other)

    If status reports actionContext.mode: "workspace-planning", explain that workspace archive is not supported in this slice and STOP. Do not move workspace changes into repo-local archives or edit linked repos.

    If any artifacts are not done:

    • Display warning listing incomplete artifacts
    • Use AskUserQuestion tool to confirm user wants to proceed
    • Proceed if user confirms
  3. Check task completion status

    Read the tasks file (typically tasks.md) to check for incomplete tasks.

    Count tasks marked with - [ ] (incomplete) vs - [x] (complete).

    If incomplete tasks found:

    • Display warning showing count of incomplete tasks
    • Use AskUserQuestion tool to confirm user wants to proceed
    • Proceed if user confirms

    If no tasks file exists: Proceed without task-related warning.

  4. Assess delta spec sync state

    Use artifactPaths.specs.existingOutputPaths from status JSON to check for delta specs. If none exist, proceed without sync prompt.

    If delta specs exist:

    • Compare each delta spec with its corresponding main spec at openspec/specs/<capability>/spec.md
    • Determine what changes would be applied (adds, modifications, removals, renames)
    • Show a combined summary before prompting

    Prompt options:

    • If changes needed: "Sync now (recommended)", "Archive without syncing"
    • If already synced: "Archive now", "Sync anyway", "Cancel"

    If user chooses sync, use Task tool (subagent_type: "general-purpose", prompt: "Use Skill tool to invoke openspec-sync-specs for change ''. Delta spec analysis: "). Proceed to archive regardless of choice.

  5. Perform the archive

    Create an archive directory under planningHome.changesDir if it doesn't exist:

    mkdir -p "<planningHome.changesDir>/archive"
    

    Generate target name using current date: YYYY-MM-DD-<change-name>

    Check if target already exists:

    • If yes: Fail with error, suggest renaming existing archive or using different date
    • If no: Move changeRoot to the archive directory
    mv "<changeRoot>" "<planningHome.changesDir>/archive/YYYY-MM-DD-<name>"
    
  6. Display summary

    Show archive completion summary including:

    • Change name
    • Schema that was used
    • Archive location
    • Whether specs were synced (if applicable)
    • Note about any warnings (incomplete artifacts/tasks)

Output On Success

## Archive Complete

**Change:** <change-name>
**Schema:** <schema-name>
**Archived to:** the archive path derived from `planningHome.changesDir`/YYYY-MM-DD-<name>/
**Specs:** ✓ Synced to main specs (or "No delta specs" or "Sync skipped")

All artifacts complete. All tasks complete.

Guardrails

  • Always prompt for change selection if not provided
  • Use artifact graph (openspec status --json) for completion checking
  • Don't block archive on warnings - just inform and confirm
  • Preserve .openspec.yaml when moving to archive (it moves with the directory)
  • Show clear summary of what happened
  • If sync is requested, use openspec-sync-specs approach (agent-driven)
  • If delta specs exist, always run the sync assessment and show the combined summary before prompting

Read the full file on GitHub · 118 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 118 lines · 31 tokens per session scan A 0526054ec891

Subscribe to this mod's changes

openspec-archive-change is a skill published in the GitHub repository drakulavich/kesha-voice-kit (73 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 1,045 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to openspec-archive-change, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

benchmark

Run performance + quality benchmarks. ASR reports WER, RTF, process memory, and throughput across engines/variants. Arguments include asr, tts, vad, diarize, asr-quick.

soniqo/speech-swift · 0 tokens

review-pr

Review a pull request for conceptual fit, architecture impact, adversarial failure modes, security risk, docs impact, regression risk, test coverage, and merge readiness. Use when asked to review a PR, check whether a PR is safe to merge, decide if more tests are needed, perform adversarial or security review, or…

soniqo/speech-swift · 71 tokens

delive-transcript-analyzer

Analyze, summarize, and extract insights from DeLive transcription sessions. Use when: user mentions DeLive, transcription, meeting transcripts, live captions, audio transcription, AI correction, corrected transcript, or transcript analysis; user wants to search, retrieve, summarize, correct, or process recorded…

XimilalaXiang/DeLive · 98 tokens

whisper

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual…

davila7/claude-code-templates · 67 tokens

yw-transcribe

A workflow for transcribing one local audio or video file into a traceable Chinese or mixed Chinese-English transcript, with optional timestamps and subtitle files.

yuwen-cool/yw-transcribe · 131 tokens

gguf-quantization

GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.

synthetic-sciences/openscience · 48 tokens